# Machine Learning Technique for Precision Agriculture Applications in 5G‐Based Internet of Things

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/machine-learning-technique-for-precision-agriculture-applications-in-5g-based/

## Facts

| Field | Value |
| --- | --- |
| Author Names | C Murugamani,S. Shitharth,S. Hemalatha,Pravin R. Kshirsagar,K. Riyazuddin,Quadri Noorulhasan Naveed,Saiful Islam,Syed Parween Ali,Areda Batu |
| Citations | 71 |
| DOI | 10.1155/2022/6534238 |
| Fields | Agricultural and Biological Sciences,Computer Science |
| Open Access | true |
| OA Status | hybrid |
| OA URL | https://downloads.hindawi.com/journals/wcmc/2022/6534238.pdf |
| OpenAlex ID | https://openalex.org/W4281606415 |
| Type | article |
| Year | 2022 |

## Paper authors

- [C Murugamani](https://scholariq.org/researchers/c-murugamani/)
- [S. Hemalatha](https://scholariq.org/researchers/s-hemalatha/)

## Paper primary topic

- [Smart Agriculture and AI](https://scholariq.org/topics/smart-agriculture-and-ai/)

## Paper topics

- [Smart Agriculture and AI](https://scholariq.org/topics/smart-agriculture-and-ai/)
- [Smart Systems and Machine Learning](https://scholariq.org/topics/smart-systems-and-machine-learning/)
- [Food Supply Chain Traceability](https://scholariq.org/topics/food-supply-chain-traceability/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.